Distribution-Free Methods for Statistical Process Monitoring and Control (Hardcover, 1st ed. 2020)

This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate control charts, and reviews the recent literature on nonparametric charts, particularly multivariate schemes. Further, it discusses observations tied to the monitored population quantile, focusing on the Shewhart Sign chart. The book also addresses the issue of practically assuming the normality and the independence when a process is statistically monitored, and examines in detail change-point analysis-based distribution-free control charts designed for Phase I applications. Moreover, it introduces six distribution-free EWMA schemes for simultaneously monitoring the location and scale parameters of a univariate continuous process, and establishes two nonparametric Shewhart-type control charts based on order statistics with signaling runs-type rules. Lastly, the book proposes novel and effective method for early disease detection.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	March 2020
First published:	2020
Editors:	Markos V. Koutras • Ioannis S. Triantafyllou
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	257
Edition:	1st ed. 2020
ISBN-13:	978-3-03-025080-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Professional & Technical > Technology: general issues > Engineering: general Books > Business & Economics > Business & management > Business mathematics & systems > General
LSN:	3-03-025080-6
Barcode:	9783030250805

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